Claude apps gateway for Amazon Bedrock, Claude Platform on AWS, Google Cloud, and Microsoft Foundry

Run Claude Code through Amazon Bedrock, Claude Platform on AWS, Google Cloud, or Microsoft Foundry behind a self-hosted gateway with SSO sign-in, per-group model access, and OTLP telemetry.

Claude apps gateway is a self-hosted service that sits between your developers' Claude Code clients and your model provider. Developers sign in with your corporate identity provider (IdP) instead of holding API keys or cloud credentials. The gateway holds the upstream credential, enforces model access and managed settings by IdP group, and relays usage telemetry to your own observability stack.

It is included in the claude binary, so the same executable that runs Claude Code on a laptop runs the gateway server with claude gateway --config gateway.yaml.

This page covers:

• Why Claude apps gateway, what it adds over running your own, and when something else fits better
• A quickstart with prerequisites that takes a gateway from zero to a signed-in developer
• Connecting developers, including setting the gateway URL through managed settings
• Availability and limitations covering which Claude Code features work through the gateway and what the server supports

Companion pages go deeper. The configuration reference covers every option in the YAML file the quickstart writes, and the deployment guide covers per-IdP setup, Kubernetes and Cloud Run deployment, and operations.

Why Claude apps gateway

The gateway overview covers what a gateway does and why you'd run one. Claude apps gateway is Anthropic's own gateway, built into the claude binary and tested alongside each Claude Code release, so it forwards the headers and request fields Claude Code sends without operators maintaining a separate allowlist. Once deployed it gives you:

• Credentials: the upstream API key or cloud credential lives only in your infrastructure. Developers authenticate with corporate SSO and receive short-lived bearer tokens, so offboarding happens in your IdP. Deprovision a user and their gateway access expires within the session lifetime, one hour by default.
• Access control: your IdP groups map to model allowlists and managed settings policies. The gateway enforces model access server-side, rejecting requests for non-granted models, and selects each group's managed settings policy, which the CLI applies at the managed settings tier. Different teams get different models, tools, and permissions, and a developer can't override what their policy locks.
• Settings delivery: the gateway delivers managed settings to signed-in clients itself, taking the place of server-managed settings from the claude.ai admin console.
• Telemetry: each configured destination, such as Datadog, Splunk, or ClickHouse, receives OpenTelemetry Protocol (OTLP) metrics with token counts, model, user identity, and latency by default, with logs and traces as per-destination opt-ins.
• Upstream routing: clients speak the Anthropic Messages API to the gateway, and the gateway translates for each upstream, whether Amazon Bedrock, Claude Platform on AWS, Google Cloud's Agent Platform, Microsoft Foundry, or the Anthropic API, with failover between them. You can change regions, providers, or failover order without developers noticing or reconfiguring.

For which Claude Code features work through the gateway and what the server itself supports, see Availability and limitations below. For decisions such as cost, bypass, running multiple gateways, and serverless platforms, see the deployment guide.

Other gateway implementations

If you already run an LLM gateway or API gateway that meets your needs, keep using it; Other LLM gateways covers configuring Claude Code against it.

The gateway protocol reference documents the contract Claude Code expects from any gateway: the endpoints it calls, the headers and body fields to forward, and what stops working when they're stripped. A running Claude apps gateway serves a superset of that contract at GET /protocol, adding the Claude apps gateway-specific endpoints for SSO sign-in, managed settings delivery, and telemetry. Fetch it with curl https://claude-gateway.internal.example.com/protocol from any deployed gateway, such as the one the quickstart below produces.

Breaking changes to the protocol are announced in advance, but indefinite backwards compatibility isn't guaranteed.

Quickstart

This quickstart walks the minimal path: register an OAuth client in your IdP, write a gateway.yaml, run the gateway alongside Postgres with Docker Compose, and verify sign-in end to end. It uses an Amazon Bedrock upstream; Claude Platform on AWS, Google Cloud's Agent Platform, Microsoft Foundry, and the Anthropic API are equally supported by swapping the upstreams block as shown in the configuration reference. At the end you have a gateway a developer can /login to.

Prerequisites

Have these in place before you start:

Steps

1. Register an OAuth client in your IdP

   Decide the gateway's hostname first, because the redirect URI must match it. Create a new OIDC web application and set the redirect URI to https://claude-gateway.<your-domain>/oauth/callback, where the host is the same value you set as listen.public_url in step 3. Note the client_id and client_secret. Per-IdP instructions are in Identity provider setup.

2. Provision a PostgreSQL database

   Any Postgres 14 or later works, including the smallest managed tier. The gateway runs its own schema migrations at boot, so the database role needs rights to create and alter tables; see store.

3. Write gateway.yaml

   Secrets are read via ${ENV_VAR} expansion so the file itself can live in version control. Use a public_url hostname that resolves to a private IP on your network, because /login rejects public addresses. The minimal config has five sections, and every other field has a default:

   ```yaml gateway.yaml theme={null}
   listen:
     host: 0.0.0.0
     port: 8080
     # Required unless host is a loopback address. Used for the IdP
     # redirect_uri and the discovery document.
     public_url: https://claude-gateway.internal.example.com
   
   oidc:
     issuer: https://login.example.com        # must serve /.well-known/openid-configuration
     client_id: 0oa1example2
     client_secret: ${OIDC_CLIENT_SECRET}
     allowed_email_domains: [example.com]        # reject id_tokens outside your org
     userinfo_fallback: true                  # for IdPs whose id_token omits email/groups; harmless otherwise
   
   session:
     jwt_secret: ${GATEWAY_JWT_SECRET}        # openssl rand -base64 32
     ttl_hours: 1                             # also bounds revocation latency on IdP deprovision
   
   store:
     postgres_url: ${GATEWAY_POSTGRES_URL}    # add ?sslmode=require for managed Postgres
   
   upstreams:
     - provider: bedrock
       region: us-east-1
       auth: {}                               # empty: AWS default credential chain
                                              # (IRSA, EC2/ECS task role, env vars, ~/.aws)
   
   # Models are translated per upstream automatically. The built-in catalog
   # maps claude-opus-4-8 to us.anthropic.claude-opus-4-8 and so on for every
   # Bedrock-supported Claude model. Set false and add a `models:` list to
   # expose only specific models.
   auto_include_builtin_models: true
   ```
   
   This config is enough for a working sign-in loop with the default Amazon Bedrock model catalog. Once it's running, add per-group RBAC and managed settings via [`managed.policies`](/docs/en/claude-apps-gateway-config#managed), telemetry fan-out via [`telemetry`](/docs/en/claude-apps-gateway-config#telemetry), and multi-upstream failover, provisioned-throughput ARNs, or non-US regions via [`models`](/docs/en/claude-apps-gateway-config#models).
   

   提示

   The Amazon Bedrock upstream needs an AWS principal with bedrock:InvokeModel and bedrock:InvokeModelWithResponseStream on both the inference-profile/us.anthropic.* ARNs and the underlying foundation-model/anthropic.* ARNs, and Anthropic's one-time use case form submitted for the account from the Bedrock console's Model catalog. Supply the credential with IRSA on EKS, an ECS task role, or an EC2 instance profile rather than static keys. The upstreams reference has the full IAM details, the cross-cloud credential matrix, and the auth blocks for the other providers.

4. Run it

   Build a container image around the claude binary that meets the image requirements, then run it alongside Postgres. The Compose file references the image as registry.example.com/claude-gateway:2.1.198; substitute your own registry and image tag:

   ```yaml docker-compose.yaml theme={null}
   services:
     gateway:
       image: registry.example.com/claude-gateway:2.1.198
       ports: ["8080:8080"]
       volumes: ["./gateway.yaml:/etc/claude/gateway.yaml:ro"]
       environment:
         OIDC_CLIENT_SECRET: ${OIDC_CLIENT_SECRET}
         GATEWAY_JWT_SECRET: ${GATEWAY_JWT_SECRET}
         GATEWAY_POSTGRES_URL: postgres://gw:pw@postgres/gateway
         # AWS credentials: in production, omit these and use an instance
         # role. For local Compose testing, pass through your own:
         AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
         AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
         AWS_SESSION_TOKEN: ${AWS_SESSION_TOKEN}
       depends_on:
         postgres:
           condition: service_healthy
     postgres:
       image: postgres:16-alpine
       environment: { POSTGRES_USER: gw, POSTGRES_PASSWORD: pw, POSTGRES_DB: gateway }
       healthcheck:
         test: ["CMD-SHELL", "pg_isready -U gw"]
         interval: 5s
       volumes: ["pgdata:/var/lib/postgresql/data"]
   volumes: { pgdata: }
   ```
   
   The gateway is a single Linux binary that reads the config, connects to Postgres and applies its schema migrations, runs OIDC discovery against your IdP, builds upstream clients, and starts listening. Boot is fail-closed for the config, the Postgres connection with a 5-second timeout, OIDC discovery, and upstream client construction. If any of those is unreachable or misconfigured, the gateway exits with an error rather than serving traffic in a degraded state.
   
   A successful boot doesn't validate the inference path, because Amazon Bedrock and Google Cloud's Agent Platform instance credentials resolve on the first request, not at boot.
   
   Watch stderr for the boot sequence. Log lines use the format `[gateway] <timestamp> <level> <message>`, audit events are single-line JSON with an `evt` field, and a startup banner, omitted below, prints between the migration and listening lines. A fresh database prints one `migration N applied` line per schema migration; an already-migrated database prints none. You should see, in order:
   
   ```text theme={null}
   {"ts":"2026-06-10T17:03:21.114Z","evt":"config.load","path":"/etc/claude/gateway.yaml","sha256":"…"}
   [gateway] 2026-06-10T17:03:21.395Z info waiting for migration lock (another replica may be migrating; check pg_locks for key 6775156 if this persists)
   [gateway] 2026-06-10T17:03:21.408Z info migration 1 applied
   …
   [gateway] 2026-06-10T17:03:21.431Z info migration 6 applied
   [gateway] 2026-06-10T17:03:21.512Z info claude gateway listening on http://0.0.0.0:8080
   ```
   
   If boot exits before the `claude gateway listening on` line, the last line of stderr names the problem:
   
   * an unreachable Postgres
   * a Postgres role without DDL permission
   * an unreachable or invalid OIDC discovery document
   * a config schema violation with the offending field path
   
   Fix it and restart.
   
   If you already have a TLS-terminating ingress, skip Compose and run the binary directly with `claude gateway --config gateway.yaml`. Set `public_url` to the ingress origin and bind `listen` to a loopback or cluster-internal address.
   

5. Verify the auth surface

   Three checks confirm the gateway can authenticate a real user before you hand it to a developer.

   The examples use the gateway's public URL; for the local Compose setup without an ingress, substitute `http://localhost:8080` in the first two checks. The third check opens `verification_uri_complete`, which is built from `public_url`, so for local Compose set `public_url: http://localhost:8080` in `gateway.yaml`, and add `http://localhost:8080/oauth/callback` as a second redirect URI on the OAuth client from step 1, because the gateway builds the IdP `redirect_uri` from `public_url`. The verification link then opens in your local browser.
   
   In Windows PowerShell, run `curl.exe`; the bare `curl` is an alias for `Invoke-WebRequest` and rejects these flags.
   
   First, fetch the discovery document, which confirms the gateway is up, the config is valid, and all boot checks passed:
   
   ```bash theme={null}
   curl -s https://claude-gateway.internal.example.com/.well-known/oauth-authorization-server | jq
   ```
   
   ```json theme={null}
   {
     "issuer": "https://claude-gateway.internal.example.com",
     "device_authorization_endpoint": "…/oauth/device_authorization",
     "token_endpoint": "…/oauth/token",
     "grant_types_supported": ["urn:ietf:params:oauth:grant-type:device_code", "refresh_token"]
   }
   ```
   
   The response includes additional fields, such as `response_types_supported` and `scopes_supported`.
   
   Second, request a device authorization, which confirms the device sign-in flow works and Postgres is reachable and writable:
   
   ```bash theme={null}
   curl -s -X POST https://claude-gateway.internal.example.com/oauth/device_authorization | jq
   ```
   
   ```json theme={null}
   {
     "device_code": "…",
     "user_code": "WDJB-MJHT",
     "verification_uri": "https://claude-gateway.internal.example.com/device",
     "verification_uri_complete": "https://claude-gateway.internal.example.com/device?user_code=WDJB-MJHT",
     "expires_in": 600,
     "interval": 5
   }
   ```
   
   Third, test the browser leg by opening `verification_uri_complete` in a browser and confirming the code. You should be redirected to your IdP's sign-in page, and after signing in, land back on the gateway with a signed-in confirmation.
   
   Use the first failing check to locate the problem:
   
   * **First check fails**: boot didn't complete; check stderr
   * **Second check fails**: Postgres isn't reachable from the gateway or the role can't write; check the connection string and grants
   * **Third check doesn't reach the IdP**: check that the IdP's redirect URI matches `https://<gateway>/oauth/callback` exactly
   * **Third check reaches the IdP but bounces back with an error**: read the gateway's audit log, which records every auth rejection with the reason, such as `email domain not allowed`
   

6. Log a developer in

   This last step happens on a developer machine, not the server. Set forceLoginMethod to "gateway" and forceLoginGatewayUrl to your gateway's public_url in that machine's managed settings file, then run /login, press Enter on the Cloud gateway screen, and complete the browser sign-in. Set the gateway URL below covers distributing both keys at scale.

Connect developers

Developers connect from their own laptops with one browser sign-in, using their corporate work account. They don't need a claude.ai account, an API key, or a subscription, because requests to the model go through the gateway using the organization's upstream credential. Connection is driven by the client-side managed settings you push via MDM, so there is no manual setup on the developer side; this section covers what the admin configures.

The CLI fingerprints the gateway's TLS leaf certificate on first connect and pins it per hostname. Publish the expected SHA-256 fingerprint alongside the gateway URL so developers have something to compare against. Get the fingerprint from the certificate file with openssl x509 -noout -fingerprint -sha256 -in cert.pem; the /login prompt shows the first 16 characters of the digest as lowercase hexadecimal with no separators.

When the certificate rotates, every developer sees the trust prompt again, so treat rotations as a planned event and republish the fingerprint.

Once signed in, the model picker shows the models in the developer's availableModels allowlist, managed settings apply at startup and refresh hourly, and telemetry routes to your collector. Sessions refresh silently before ttl_hours expiry, and a failed refresh after IdP deprovisioning prompts a re-login.

Set the gateway URL

Three keys go in the per-OS managed settings file you deploy via MDM or directly on disk. forceLoginMethod and forceLoginGatewayUrl open /login directly on the Cloud gateway screen with the URL filled in, and parentSettingsBehavior: "merge" lets Claude Desktop deliver the gateway's egress allowlist to the Claude Code sessions it launches, explained in Deliver policy to Claude Desktop sessions:

{
  "forceLoginMethod": "gateway",
  "forceLoginGatewayUrl": "https://claude-gateway.internal.example.com",
  "parentSettingsBehavior": "merge"
}

The developer presses Enter to connect. The first-connect TLS fingerprint prompt still appears.

A developer can't set this up manually. The login picker has no gateway option, and forceLoginGatewayUrl is ignored in a developer's own settings files. forceLoginMethod alone, without a URL, leaves the developer at a "Contact your IT administrator" message. The login keys belong in the file you push to machines, not in the gateway's managed.policies[].cli block, which only reaches clients that are already connected.

Deliver policy to Claude Desktop sessions

Claude Desktop runs its Cowork and Code tabs, plus the Chat tab when you enable it, on embedded Claude Code sessions and sends their model requests through the gateway. It passes policy to each of those sessions, built from the configuration the gateway serves it at /user/bootstrap: the model allowlist, disabled tools, and egress allowlist derived from the matched policy's cli block, plus the desktop overlay.

Other cli keys, such as hooks, env, and scoped permission rules like Bash(npm *), reach only clients that sign in through /login. Claude Desktop reads the gateway URL from its own managed configuration and signs in with its own flow, separate from the forceLoginMethod and forceLoginGatewayUrl keys in Set the gateway URL.

Settings passed by a launching process are parent settings. Claude Code ignores parent settings on any machine that has an admin-deployed managed source, unless the highest-priority source sets parentSettingsBehavior: "merge".

Which machines need the opt-in

Machines that only run Claude Desktop need it. Claude Desktop applies the model list and the disabled-tools list to embedded sessions itself, but the egress allowlist reaches them only as parent settings, in the form of WebFetch domain rules and sandbox network rules. Without the opt-in, those sessions run without the egress restriction, and nothing warns you. The gateway still rejects inference requests for models the policy doesn't grant.

Machines where developers sign in through /login don't need it; every Claude Code invocation fetches its policy from the gateway directly. Fleets whose policyHelper supplies managed settings can't use it: parent settings are never merged then, because the helper's output replaces the other managed sources.

Set the opt-in

Deploy the key, mirror it to the source that wins on each machine, then verify.

1. Deploy the opt-in in the managed settings file

   The snippet above already includes parentSettingsBehavior: "merge", so the file you push to machines carries it.

2. Set the same key in any source that outranks the file

   Only the highest-priority admin source's value counts. A managed-preferences plist on macOS or an HKLM policy on Windows outranks the managed-settings.json file, and the gateway's own remote managed settings outrank both, so on machines that sign in to the gateway, also set the key in the gateway policy's cli block.

3. Check which source won

   Call the Agent SDK's resolveSettings(). Its result includes a sources list; the managed policy entry there carries a policyOrigin field naming the active source. resolveSettings() doesn't execute a configured policyHelper, so its result doesn't reflect the live session on machines where a helper supplies the managed settings.

Restrict parent settings

Once you deploy parentSettingsBehavior: "merge", any host process that launches Claude Code can supply parent settings, not only Claude Desktop but also an Agent SDK application or an IDE extension.

Claude Code filters parent settings against an allowlist of restrictive keys, but some allowed keys can grant access rather than restrict it. Unless you set the allowManaged*Only locks, permission allow rules and sandbox allowlists supplied by the host still apply. Your policy's deny and ask rules stay in force either way; they're evaluated before any allow rule.

Claude Code forwards parent-supplied sandbox.credentials entries in stripped form:

• deny entries: forwarded with only their path or name and the mode.
• File entries with mode: mask: forwarded sentinel-only, as a whole-file mask whose injectHosts is the empty list, so the proxy never substitutes the real value for a parent-supplied entry on any platform. All structured-masking fields are dropped too, so a parent-supplied extract pattern can't displace a stricter mask another source sets for the same path.
• envVars entries with mode: mask: not forwarded. deny is the only restriction the parent channel can express through envVars entries.
• awsPairs and sigv4: forwarded restriction-only. From sigv4, only deny values are kept, and a parent that defines a sigv4 block at all pins all three request forms, streaming, presigned, and sigv4a, to deny. An awsPairs pair is never forwarded in a form that can re-sign; a pair that names one of the conventional AWS variables is replaced by an inert entry that keeps the automatic pairing of AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, and AWS_SESSION_TOKEN suppressed.

Deploy the locks

To keep parent settings as close to restriction-only as the filter supports, add all five allowManaged*Only locks, and the allowlists they govern, to the same sources as the merge opt-in:

{
  "forceLoginMethod": "gateway",
  "forceLoginGatewayUrl": "https://claude-gateway.internal.example.com",
  "parentSettingsBehavior": "merge",
  "allowManagedPermissionRulesOnly": true,
  "allowManagedMcpServersOnly": true,
  "allowManagedHooksOnly": true,
  "allowedMcpServers": [{ "serverUrl": "https://mcp.internal.example.com/*" }],
  "sandbox": {
    "network": {
      "allowManagedDomainsOnly": true,
      "allowedDomains": ["github.com", "*.npmjs.org"]
    },
    "filesystem": {
      "allowManagedReadPathsOnly": true,
      "denyRead": ["~/"],
      "allowRead": ["~/projects"]
    }
  }
}

An OS policy, such as an HKLM registry policy or a managed-preferences plist, outranks this file, so deliver the whole snippet through it instead of the file. The gateway's remote managed settings outrank the OS policy and file sources but reach only connected clients. Mirror the locks, the allowlists, and the merge opt-in into the policy's cli block and keep this file deployed, because machines that never connect, including ones that only run Claude Desktop, get their policy from the file alone.

Lock behavior across sources

Setting one lock doesn't restrict the others; each key is documented in the settings reference. From an admin source below the winner, the two sandbox locks still apply, and allowManagedPermissionRulesOnly still blocks parent-supplied allow rules and additionalDirectories. The hooks and MCP server locks, and allowManagedPermissionRulesOnly's effect on the developer's own rules, need the winning source. On policyHelper fleets, the locks are read from the helper's output alone.

Each lock makes Claude Code ignore the developer's own entries for that setting, so include your organization's allowlists next to the locks. Locking network domains with an empty managed domain list blocks all sandboxed outbound traffic, and locking MCP servers with no managed or parent-supplied allowedMcpServers loads every server that deniedMcpServers doesn't block. allowRead entries only re-allow paths inside denyRead regions, so pair them with a managed denyRead.

Settings the locks don't cover

Four parent-supplied settings are honored even with all five locks set:

• forceLoginOrgUUID: Claude Code honors a parent-supplied value when the highest-priority admin source doesn't set an org UUID. Gateway sign-in doesn't check this key, so it matters only for fleets that also use first-party Anthropic logins. An org UUID in the highest-priority admin source blocks the parent's value and is the one Claude Code enforces, so set forceLoginOrgUUID there.
• allowedMcpServers: Claude Code honors a parent-supplied allowlist when the highest-priority admin source doesn't set one, and allowManagedMcpServersOnly doesn't block it, because the lock enforces whichever list wins as the managed value, including a parent-supplied list when the highest-priority admin source doesn't set one. A list in the highest-priority admin source blocks the parent's and is the list Claude Code enforces, so set allowedMcpServers there, next to the lock. Before v2.1.223, a value for either key in any admin source blocked the parent's.
• availableModels: Claude Code honors a parent-supplied model list when the winning managed source doesn't set one. If your fleet restricts models, set availableModels in the winning source.
• strictPluginOnlyCustomization: this key passes the filter regardless of any lock, and it makes Claude Code ignore the developer's own customization, including protective hooks. No lock blocks it.

Connect Claude Desktop

Claude Desktop connects to the same gateway through a different MDM key: set bootstrapUrl in Claude Desktop's managed configuration to <listen.public_url>/user/bootstrap, and opt the user's policy in with a desktop key. Claude Desktop overlay covers both halves. Requires Claude Code v2.1.203 or later on the gateway server.

Claude Desktop signs the developer in through the gateway's identity provider with the same browser SSO step, then fetches its configuration from the gateway instead of from Anthropic. Model access and policy follow the same per-group rules as the CLI. A developer who uses both the CLI and Claude Desktop signs in to each separately; the gateway session isn't shared between them.

Once connected, Claude Desktop sends model requests from every enabled tab through the gateway. It shows the Cowork and Code tabs by default. To turn on the Chat tab as well, set chatTabEnabled to true in Claude Desktop's managed configuration, or in the policy's desktop block on a gateway running Claude Code v2.1.227 or later.

CI pipelines and remote machines

There is no service-token flow for unattended pipelines. Gateway sign-in always runs the browser device flow, so a CI job with no developer to approve the sign-in can't authenticate; configure those against your provider directly.

Once a developer has signed in, every Claude Code invocation on that machine uses the gateway session, including non-interactive claude -p runs and sessions started by the Agent SDK, and the gateway policy applies to all of them.

The device flow separates the polling CLI from the approving browser, so a remote development box with no display still works: the developer runs /login over SSH on the remote machine and opens the verification link in the browser on their laptop.

What's enforced on developers

These guarantees apply to every session signed in through /login. The embedded sessions Claude Desktop launches get their policy as described in Deliver policy to Claude Desktop sessions, and the telemetry bullet says where their exports go.

• Model access: requests for models the policy doesn't grant return 400, and the /model picker is filtered to the policy's availableModels allowlist. Set enforceAvailableModels: true in the policy so the Default option resolves to a model inside availableModels instead of to Claude Code's built-in default; without it, Default stays selectable and is rejected at request time if that model isn't granted.
• Telemetry destination: in sessions signed in through /login, the CLI sends its OTLP/HTTP exports to the gateway regardless of any locally set OTEL_EXPORTER_OTLP_ENDPOINT, and the gateway relays them to the destinations in telemetry.forward_to. In the embedded sessions Claude Desktop launches, the CLI sends its exports to the configured OTEL_EXPORTER_OTLP_ENDPOINT. The CLI attaches the gateway session token to those exports only when that endpoint points at the gateway itself. With no destination configured for a signal, the gateway accepts and discards it, so if you already collect Claude Code telemetry directly, add your collector as a forward_to destination.
• Credentials: the gateway token is the session's only credential. ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY, apiKeyHelper, Anthropic profiles, and any earlier claude.ai login are ignored while signed in, so developers don't need to log out of claude.ai first.
• Managed settings: locked keys can't be overridden locally. The CLI applies the policy at startup and on each hourly poll.
• Startup: signed-in sessions exit at startup with an error after about 10 seconds when the gateway is unreachable, rather than starting without their settings.
• Deprovisioning: a session whose user is disabled in the IdP expires within ttl_hours when the next refresh fails.

What the organization can see

Usage telemetry carries the developer's identity, token counts, model, and latency to the organization's collector. The gateway doesn't log or store prompt or completion content. Whether richer telemetry such as logs and traces is collected, which can include commands and file paths, is the organization's per-destination choice.

Availability and limitations

The table covers which Claude Code features work when developers connect through the gateway, and what the gateway server itself supports. Where something isn't supported, the Notes column gives the alternative.

The gateway delivers the anthropic-beta values the CLI sends to every upstream, so operators don't maintain a beta allowlist. For Amazon Bedrock, which ignores the header, the gateway moves the values into the request body's anthropic_beta field; the other upstreams receive the header as sent.

Next steps

The quickstart leaves you with a minimal config running under Docker Compose. To take it further:

• Expand gateway.yaml beyond the minimal config, for example to add per-group RBAC, multi-upstream failover, or telemetry destinations. The configuration reference covers every option.
• Move from Compose to a production deployment on Kubernetes or Cloud Run, set up your IdP properly, and review the security model. The deployment and operations guide covers per-IdP setup, container image requirements, health probes, and troubleshooting.
• Put spend caps on individual developers or groups so a runaway workload can't consume your whole commitment. Spend limits covers the admin API and how enforcement works.
• For a complete worked example on AWS, with ECS Fargate or EKS, Amazon RDS, and Secrets Manager, see Deploy on AWS.
• For a complete worked example on Google Cloud, with Cloud Run, Cloud SQL, and Secret Manager, see Deploy on Google Cloud.